feat(example-images): add NSFW level setting endpoint

Add new POST endpoint `/api/lm/example-images/set-nsfw-level` to allow updating NSFW classification for individual example images. The endpoint supports both regular and custom images, validates required parameters, and updates the corresponding model metadata. This enables users to manually adjust NSFW ratings for better content filtering.
This commit is contained in:
Will Miao
2025-12-09 20:37:09 +08:00
parent 3fc72d6bc1
commit a6e23a7630
15 changed files with 486 additions and 165 deletions

View File

@@ -593,5 +593,114 @@ class ExampleImagesProcessor:
'error': str(e)
}, status=500)
@staticmethod
async def set_example_image_nsfw_level(request: web.Request) -> web.StreamResponse:
"""
Update the NSFW level for a single example image (regular or custom).
"""
try:
data = await request.json()
except Exception:
return web.json_response({'success': False, 'error': 'Invalid JSON body'}, status=400)
model_hash = data.get('model_hash')
raw_level = data.get('nsfw_level')
source = (data.get('source') or 'civitai').lower()
index = data.get('index')
image_id = data.get('id')
if model_hash is None or raw_level is None:
return web.json_response(
{'success': False, 'error': 'Missing required parameters: model_hash and nsfw_level'},
status=400,
)
try:
nsfw_level = int(raw_level)
except (TypeError, ValueError):
return web.json_response(
{'success': False, 'error': 'nsfw_level must be an integer'}, status=400
)
if source == 'custom':
if not image_id:
return web.json_response(
{'success': False, 'error': 'Custom images require an id field'}, status=400
)
else:
try:
index = int(index)
except (TypeError, ValueError):
return web.json_response(
{'success': False, 'error': 'Regular images require a numeric index'}, status=400
)
try:
lora_scanner = await ServiceRegistry.get_lora_scanner()
checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
model_data = None
scanner = None
for scan_obj in [lora_scanner, checkpoint_scanner, embedding_scanner]:
if scan_obj.has_hash(model_hash):
cache = await scan_obj.get_cached_data()
for item in cache.raw_data:
if item.get('sha256') == model_hash:
model_data = item
scanner = scan_obj
break
if model_data:
break
if not model_data:
return web.json_response(
{'success': False, 'error': f"Model with hash {model_hash} not found in cache"},
status=404,
)
await MetadataManager.hydrate_model_data(model_data)
civitai_data = model_data.setdefault('civitai', {})
regular_images = civitai_data.get('images') or []
custom_images = civitai_data.get('customImages') or []
target_image = None
if source == 'custom':
for image in custom_images:
if image.get('id') == image_id:
target_image = image
break
else:
if 0 <= index < len(regular_images):
target_image = regular_images[index]
if target_image is None:
return web.json_response(
{'success': False, 'error': 'Target image not found'}, status=404
)
target_image['nsfwLevel'] = nsfw_level
civitai_data['images'] = regular_images
civitai_data['customImages'] = custom_images
file_path = model_data.get('file_path')
if file_path:
model_copy = model_data.copy()
model_copy.pop('folder', None)
await MetadataManager.save_metadata(file_path, model_copy)
await scanner.update_single_model_cache(file_path, file_path, model_data)
return web.json_response({
'success': True,
'regular_images': regular_images,
'custom_images': custom_images,
'model_file_path': model_data.get('file_path', ''),
'nsfw_level': nsfw_level
})
except Exception as exc:
logger.error("Failed to update example image NSFW level: %s", exc, exc_info=True)
return web.json_response({'success': False, 'error': str(exc)}, status=500)